code: def export_mod_broadcast() -> None:
      node = onnx.helper.make_node(
          "Mod",
          inputs=["x", "y"],
          outputs=["z"],
      )
  
      x = np.arange(0, 30).reshape([3, 2, 5]).astype(np.int32)
      y = np.array([7]).astype(np.int32)
      z = np.mod(x, y)
      #   array([[[0, 1, 2, 3, 4],
      #     [5, 6, 0, 1, 2]],
  
      #    [[3, 4, 5, 6, 0],
      #     [1, 2, 3, 4, 5]],
  
      #    [[6, 0, 1, 2, 3],
      #     [4, 5, 6, 0, 1]]], dtype=int32)
      expect(
          node, inputs=[x, y], outputs=[z], name="test_mod_broadcast"
      )
  
file_path: onnx/onnx/backend/test/case/node/mod.py
imports: import numpy
  import onnx
  from onnx.backend.test.case.base import Base
  from onnx.backend.test.case.node import expect
label_desc: Use image node_id 13 for calling the Mod obj's underlying member method code with example usage: obj.export_mod_broadcast() without return types